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                <identifier>oai:data.mendeley.com/k7bpz99284.1</identifier>
                <datestamp>2026-05-01T11:13:36Z</datestamp>
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    <dc:creator>ISLAM, SHORIFUL</dc:creator>
    <dc:title>BanglaRoad: A Multi-Environment Road Scene Dataset from Bangladesh for Object Detection in Autonomous Navigation Systems</dc:title>
    <dc:publisher>Mendeley Data</dc:publisher>
    <dc:description>Description:

This dataset, named BanglaRoad, introduces a labeled road scene dataset collected from three distinct road environments in Bangladesh: rural roads in Sirajganj district, urban roads in Dhaka, and highway corridors along the Sirajganj-Dhaka route.  

It contains 1,440 images (post-augmentation) annotated with bounding boxes across 15 object classes.  

The dataset includes Bangladesh-specific categories such as rickshaw, CNG auto-rickshaw, Nosimon (a locally fabricated agricultural vehicle), pothole, and free-roaming cattle, which are absent in standard international benchmarks.  

The dataset is intended to improve object detection models for autonomous driving in unstructured and complex traffic environments typical of South Asia.</dc:description>
    <dc:subject>Computer Science</dc:subject>
    <dc:subject>Artificial Intelligence</dc:subject>
    <dc:subject>Computer Vision</dc:subject>
    <dc:contributor>Hossain, Tanvir</dc:contributor>
    <dc:type>Dataset</dc:type>
    <dc:identifier>doi:10.17632/k7bpz99284.1</dc:identifier>
    <dc:identifier>oai:data.mendeley.com/k7bpz99284.1</dc:identifier>
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    <dc:date>2026-05-01T11:13:36Z</dc:date>
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